# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.

import logging
import pathlib
from typing import Optional

from pyrit.common.apply_defaults import REQUIRED_VALUE, apply_defaults
from pyrit.common.path import CONVERTER_SEED_PROMPT_PATH
from pyrit.models import SeedPrompt
from pyrit.prompt_converter import LLMGenericTextConverter
from pyrit.prompt_target import PromptChatTarget

logger = logging.getLogger(__name__)


class ToneConverter(LLMGenericTextConverter):
    """
    Converts a conversation to a different tone using an LLM.

    An existing ``PromptChatTarget`` is used to perform the conversion (like Azure OpenAI).
    """

    @apply_defaults
    def __init__(
        self,
        *,
        converter_target: PromptChatTarget = REQUIRED_VALUE,  # type: ignore[assignment]
        tone: str,
        prompt_template: Optional[SeedPrompt] = None,
    ):
        """
        Initializes the converter with the target chat support, tone, and optional prompt template.

        Args:
            converter_target (PromptChatTarget): The target chat support for the conversion which will translate.
                Can be omitted if a default has been configured via PyRIT initialization.
            tone (str): The tone for the conversation. E.g. upset, sarcastic, indifferent, etc.
            prompt_template (SeedPrompt, Optional): The prompt template for the conversion.

        Raises:
            ValueError: If the language is not provided.
        """
        # set to default strategy if not provided
        prompt_template = (
            prompt_template
            if prompt_template
            else SeedPrompt.from_yaml_file(pathlib.Path(CONVERTER_SEED_PROMPT_PATH) / "tone_converter.yaml")
        )

        super().__init__(
            converter_target=converter_target,
            system_prompt_template=prompt_template,
            tone=tone,
        )
